Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex

被引:0
作者
Haodong Li
Tao Zhao
Songyi Dian
机构
[1] Sichuan University,College of Electrical Engineering
来源
Applied Intelligence | 2022年 / 52卷
关键词
Multi-robot path planning; Conflict type; Collision avoidance; D* lite; Artificial untraversable vertex;
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暂无
中图分类号
学科分类号
摘要
This paper presents a method to avoid collisions and deadlocks between mobile robots working collaboratively in a shared physical environment. Based on the shared knowledge of the robot’s direction and coordinates, we define five conflict types between robots and propose a new concept named Artificial Untraversable Vertex (AUV) to resolve the potential conflicts. Since conflict avoidance between robots is typically a real-time process, a heuristic search algorithm D* Lite with fast replanning characteristics is introduced. Once a robot finds that it may collide with another robot while moving along the preplanned path, a new conflict-free path can be calculated based on the AUV and D* Lite. The experimental results demonstrate that the proposed Multi-Robot Path Planning (MRPP) method can effectively avoid collisions and deadlocks between mobile robots.
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页码:429 / 451
页数:22
相关论文
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